Showing 480 open source projects for "knowledge"

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    Train ML Models With SQL You Already Know

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  • 1
    reputron is a knowledge extraction engine platform that covers all aspect of text mining, relevance, indexing and querying on a corpus of text documents.
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  • 2
    cosmos

    cosmos

    Algorithms that run our universe | Your personal library of every algo

    ...This provides solutions in various languages spanning C, C++, Java, JavaScript, Swift, Python, Go and others. This work is maintained by a community of hundreds of people and is a massive collaborative effort to bring the readily available coding knowledge offline.
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  • 3
    QJoystickManager

    QJoystickManager

    Simple joystick management system for Qt

    ...QJoystickManager strives to be as easy to use as possible, it implements many features that will ease the interaction between your program and the attached joysticks. This project uses Qt extensively, and as such users need to a have working knowledge of C++ and Qt basics (Signals and Slots and Qt data types).
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  • 4
    3A-TRE

    3A-TRE

    3A-TRE evaluates traditionally logical expressions under 3 assumptions

    3A-TRE evaluates traditionally logical expressions under the three assumptions. The open world assumption (OWA) states that the truth value of a statement that is not included in or inferred from the knowledge explicitly recorded in the system shall be considered unknown. The closed world assumption (CWA) is the assumption that any statement that is not known to be true is false. We distinguish yet another case in software testing. Frequently, there are test stubs which simulate the behaviors of the dependent test modules. In this case, the dependent test modules are always assumed to be true when their results are not available. ...
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  • 5

    Alchemist plugin

    Alchemist GCC/LLVM plugin for code analysis and tuning

    News: since 2015 we continue all related developments within Collective Knowledge Framework: http://github.com/ctuning/ck/wiki Alchemist plugin is a collection of plugins for GCC/LLVM for external and fine-grain code analysis and tuning. It is intended to to extract program properties for machine learning based optimization (see MILEPOST GCC); optimize programs at fine-grain level (such as unrolling, tiling, prefetching, etc); tune default optimization heuristic; gradually decompose program and detect performance or other anomalies; generate benchmarks particularly useful to train ML-based compilers. ...
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